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Diagnosis for Reconfigurable Single-Electron Transistor Arrays with a More Generalized Defect Model
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Diagnosis for Reconfigurable Single-Electron Transistor Arrays with a More Generalized Defect Model

Chia-Cheng Wu, Yi-Hsiang Hu, Chia-Chun Lin, Yung-Chih Chen, Juinn-Dar HuangChun-Yao Wang
ACM Journal on Emerging Technologies in Computing Systems, 卷.17(2), 15
04/2021

摘要

clustering-defect diagnosis generalized defect model Single-electron transistor array Software Hardware and Architecture Electrical and Electronic Engineering
Singe-Electron Transistor (SET) is considered as a promising candidate of low-power devices for replacement or co-existence with Complementary Metal-Oxide-Semiconductor (CMOS) transistors/circuits. In this work, we propose a diagnosis approach for SET array under a more generalized defect model. With the more generalized defect model, the diagnosis approach will become more practical but complicated. We conducted experiments on a set of SET arrays with different dimensions and defect rates. The experimental results show that our approach only has 3.8% false-negative rate and 0.7% misjudged-category rate on average without reporting any false-positive edge when the defect rate is 4%. Therefore, the proposed diagnosis approach can diagnose the defective SET arrays and elevate the reliability of the SET arrays in the synthesis flow.

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